Artificial Intelligence for Insurance Fraud Detection
Predictive Models and Risk Analysis
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Artificial Intelligence for Insurance Fraud Detection: Predictive Models and Risk Analysis explores the transformative role of AI in combating insurance fraud. Covering key topics such as risk management, data privacy, and compliance, the book provides an in-depth analysis of machine learning, deep learning, and anomaly detection techniques for fraud identification. It delves into ensemble and hybrid models, NLP for textual fraud detection, and Explainable AI (XAI) for transparent decision-making. Blockchain and smart contracts are also discussed as innovative fraud prevention tools. With real...
Artificial Intelligence for Insurance Fraud Detection: Predictive Models and Risk Analysis explores the transformative role of AI in combating insurance fraud. Covering key topics such as risk management, data privacy, and compliance, the book provides an in-depth analysis of machine learning, deep learning, and anomaly detection techniques for fraud identification. It delves into ensemble and hybrid models, NLP for textual fraud detection, and Explainable AI (XAI) for transparent decision-making. Blockchain and smart contracts are also discussed as innovative fraud prevention tools. With real-world case studies and emerging trends, this book serves as a comprehensive guide for insurance professionals, data scientists, and AI researchers aiming to enhance fraud detection with cutting-edge technologies.
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